Klasifikasi Penyakit Ginjal Kronis Menggunkan Metode Random Forest Dengan Hyperparameter Tuning

Rais, M. Fauzi (2023) Klasifikasi Penyakit Ginjal Kronis Menggunkan Metode Random Forest Dengan Hyperparameter Tuning. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

The kidneys play a vital role in filtering metabolic waste from the blood, maintaining fluid and electrolyte balance, and producing important hormones. Chronic Kidney Disease (CKD) is a serious global issue, often referred to as the "silent killer" due to being a leading cause of death. The World Health Organization (WHO) records that CKD causes millions of deaths each year, with the number of affected individuals continuously rising. In an effort to enhance the detection and management of CKD, this research aims to develop a classification model using the Random Forest method with the implementation of hyperparameter tuning. The dataset used in this study originates from the UCI Machine Learning Repository. Hyperparameter tuning aims to find the best configuration that can enhance the model's performance in predicting CKD cases. The results of this research are expected to contribute positively to early detection and management of chronic kidney disease. The outcomes of this study, utilizing Random Forest with Hyperparameter Tuning, resulted in an accuracy of 97%.

Item Type: Thesis (Undergraduate)
Student ID: 201710370311248
Keywords: Classification, Random Forest, Hyperparameter Tuning
Subjects: Q Science > Q Science (General)
R Medicine > RZ Other systems of medicine
T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201710370311248 fauziraisx
Date Deposited: 20 Nov 2023 08:47
Last Modified: 20 Nov 2023 08:47
URI: https://eprints.umm.ac.id/id/eprint/1125

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